English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The R package BNSP provides a unified framework for semiparametriclocation-scale regression and stochastic search variable selection. Thestatistical methodology that the package is built upon utilizes basis functionexpansions to represent semiparametric covariate effects in the mean andvariance functions, and spike-slab priors to perform selection andregularization of the estimated effects. In addition to the main function thatperforms posterior sampling, the package includes functions for assessingconvergence of the sampler, summarizing model fits, visualizing covariateeffects and obtaining predictions for new responses or their means givenfeature/covariate vectors.

BNSP: an R Package for Fitting Bayesian Semiparametric Regression Models and Variable Selection